Document Intelligence
Case Studies
In an age where data drives decisions, how you manage, process, and
search your documents can make all the difference. However, Gartner
reports that 80-90% of enterprise data – from emails to PDFs – remains
unstructured. This overwhelming volume of unorganized data becomes a
barrier, making data access both costly and time-consuming.
Case Studies
AI-Based eCommerce Recommendations and Metadata Enrichment Reduce Quote Preparation Time by 70%
Document Intelligence
eCommerce
Recommendations
A U.S. eCommerce SaaS platform turned invoices and competitor SKU lists into AI-generated alternative product quotes, enriched missing catalog metadata, and improved product search. The solution cut quote preparation time by 70% and expanded standardized metadata coverage to 95%.
Metinvest Enhances Document Search on Microsoft SharePoint Using Machine Learning
Document Intelligence
Metinvest, an international steel and mining group, needed to manage and search through terabytes of data on Microsoft SharePoint. We integrated an advanced multilingual search system enhanced with machine learning that identifies linked documents, detects duplicates, extracts key data insights, and automates document categorization — reducing document management time and improving search relevance.
Law Firm Automates GDPR Compliance Validation for Data Processing Agreements Using Machine Learning
Document Intelligence
Compliance Management
A Swedish law firm struggled with manually checking client Data Processing Agreements (DPAs) for GDPR compliance. We developed an automated tool that assessed these documents against GDPR standards, summarizing which criteria were met. Lawyers accessed the tool directly through a Microsoft Word plugin, without leaving their working environment.